Prompt Engineering

Description

This Prompt Engineering training course teaches you the art and science of crafting effective prompts to get the best results from large language models like ChatGPT, Claude, and Gemini. You will master prompt patterns, chain-of-thought reasoning, few-shot learning, role-based prompting, and advanced techniques for tasks like writing, coding, analysis, and creative work. Perfect for anyone who wants to get exceptional output from AI consistently.

Course Content

Module 1: Foundations of Prompting

How LLMs really read prompts
The anatomy of a good prompt
Common mistakes and how to fix them

Module 2: Core Prompting Techniques

Zero-shot vs. few-shot prompting
Chain-of-thought reasoning
Role-based and persona prompts
Context, examples, and constraints

Module 3: Working with Different Models

Prompting ChatGPT effectively
Working with Claude and its strengths
Gemini and other frontier models
Adapting prompts across models

Module 4: Advanced Patterns

Prompt chaining and decomposition
Self-consistency and tree-of-thought
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Using system prompts well

Module 5: Prompting for Writing

Blog posts, marketing copy, and email
Maintaining brand voice and style
Editing and rewriting techniques
Avoiding generic AI tone

Module 6: Prompting for Code and Analysis

Writing code with AI assistance
Debugging and code review prompts
Data analysis and reasoning tasks
Working with structured outputs

Module 7: Building Prompt Libraries

Templates for common tasks
Versioning and testing prompts
Team collaboration on prompts
Prompt management tools

Module 8: Production Prompts

Prompting for API and applications
Cost, tokens-saving, and performance
Prompt injection and safety
The future of prompt engineering

Duration: 3 – 4 weeks

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